How can I refactor my Python code for better performance?
To refactor your Python code for performance, start by identifying bottlenecks using profiling tools like cProfile.
What are some common bottlenecks in Python code?
Common bottlenecks include inefficient loops, excessive function calls, and using data structures that aren't optimal for your use case.
Can you give me an example of optimizing a loop?
Sure! Instead of using a for loop to append to a list, consider using list comprehensions, which are faster and more concise.
Are there any libraries that can help with performance?
Yes, libraries like NumPy for numerical computations and Cython for compiling Python to C can significantly boost performance.
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